Addressee Identification in Face-to-Face Meetings
Addressee Identification in Face-to-Face Meetings
复制标题
面对面会议中的收件人识别
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
A. Nijholt
中科院分区：
文献类型：
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作者：
N. Jovanovic;R. O. D. Akker;A. Nijholt
我们提出的结果，收件人识别在四个参与者面对面的会议，使用贝叶斯网络和朴素贝叶斯分类。首先，我们研究如何以及对话行为的收件人可以预测的基础上的凝视，话语和会话语境的功能。然后，我们探讨了会议背景信息是否有助于分类器的性能。当会话上下文和话语特征与说话者的凝视信息相结合时，这两个分类器的性能最好。分类器从会议背景信息中获得的信息很少。
We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers’ performances. Both classifiers perform the best when conversational context and utterance features are combined with speaker’s gaze information. The classifiers show little gain from information about meeting context.